Mr. Dinesh has been leading software development efforts for IFH’s research grants and for IFH's general-purpose web presence. Mr. Dinesh has built statistical and scientific web applications, mobile apps, big data algorithms, custom Android OS, complex runtimes, data structures, AI/ML tools, deep learning algorithms, and research databases. In addition, he has built the ADHI software suite comprising complex statistical and survey tools. ADHI survey tool is a complete end-to-end survey tool consisting of participant management, contact and scheduling, consent management, interview management, phlebotomy management, blood draw management, staff workflow management, and many more. ADHI software suits also consist of ADHI Coupon Manager, ADHI Canvassing tool, GPS Mobile app, Daily Questionnaire mobile app, and digital recruitment and registration tools.
Mr. Dinesh has been a full-stack developer for all the applications that were built in-house. At IFH, he has worked on a wide variety of programming technologies such as JAVA, ReactJS, Node.JS, PHP, C, C++, Python, Scala, HTML, CSS, JavaScript, JQuery, MySQL, SQL Server, Android, Laravel, Spring framework, Struts framework, Hibernate ORM, Eloquent ORM, etc. Mr. Dinesh also built a virtual call center using Twilio services, which uses a combination of machine learning and algorithmic techniques to route calls to different agents based on the caller’s language preference.
Project Portfolio:
List of statistical and research web applications, mobile app endpoints, reports and dashboards, and online enrollment tools:
- https://pophealth.rutgers.edu:6443/dashboard/
- https://survey.rutgers.edu/ (Inhouse-built multilingual survey platform, which also contains features such as phlebotomy management, inline multilingual consents, contact management, participant management, actigraphy management, family tree construct, granular roles, and permissions management, and also has strong encryption and hashing mechanism.)
- https://pophealth.rutgers.edu:6443/coupon-manager/build/#/login (Respondent-driven sampling tool/ Snowball sampling with coupons generation, management, and tracking)
- https://pophealth.rutgers.edu:6443/canvassing-dashboard/build/#/login (Probability sampling tool and household enumerator)
- https://pophealth.rutgers.edu:6443/gps-dashboard/build/#/ (GPS mobile app admin dashboard to view real-time data and study compliance)
- https://ifh.rutgers.edu/community-hub/
- https://pophealth.rutgers.edu/ (Chinese Healthy Aging Website and modified legacy survey platform / PINE and PIETY study)
- https://api.rutgers.edu/ (Documentation site and RESTful API endpoints for mobile apps and external partners)
- https://ifh.rutgers.edu/web-enrollments/register (Online Trust in Research and registration tool)
- http://mocksurvey.rutgers.edu/#/login (Mock Survey Platform for new survey platform)
- http://pbrn.rutgers.edu/mocksurvey/gotologin (Mock survey platform for legacy survey platform)
- https://ifhcore.rutgers.edu/familytree/ (Tool to build family trees and dyads)
- https://ifh.rutgers.edu/web-enrollments/sign-up (60+ enrollment marketing campaign and multilingual registration tool)
List of Public-facing websites:
- https://ifh.rutgers.edu/
- https://ifhcore.rutgers.edu/
- https://rcmar.rutgers.edu/
- https://njpbrn.rutgers.edu/private/
- https://healthyaging.rutgers.edu/
- https://ifhcommunity.rutgers.edu/
- https://cplb.rutgers.edu/
- https://promis.rutgers.edu/
Published mobile apps:
- Offline Registration Tool & Trust in Research Android app.
- GPS mobile app
- Daily Questionnaire mobile app
- Interview Screen Recorder mobile app
- CHAP offline survey platform mobile app
- Customized Android OS with Rutgers, IFH branding, custom apps, and runtime for the NJCOHORT longitudinal study.
- https://play.google.com/store/apps/details?id=com.casl.caslsurvey&hl=en_US&gl=US&pli=1
- https://www.amazon.com/Dinesh-Mendhe-Casl-Survey/dp/B07X1MWRF6
- https://www.amazon.com/Dinesh-Mendhe-IFH-Registration-App/dp/B085LTQ4ZP/ref=sr_1_2?qid=1670875841&refinements=p_4%3ADinesh+Mendhe&s=mobile-apps&search-type=ss&sr=1-2
- https://play.google.com/store/apps/details?id=com.dinesh.NJCRegistrationApp&hl=en_AU&gl=US
Peer-reviewed Journal Publications:
- “A Novel Survey Platform in the Age of COVID-19 to Increase Accuracy and Adoptability While Reducing Selection Bias.” Innovation in Aging, 2020
- “Human gene and disease associations for clinical‐genomics and precision medicine research.” Clinical and translational medicine, Wiley, 2020
- “Leveraging technology to improve health disparity research: trilingual data collection using tablets.” Journal of the American Geriatrics Society, 2019
- “Benchmarking student performance and engagement in an early alert predictive system using interactive radar chart.” Journal of Learning Analytics, 2016
- “Mining multi-omics/genomics data to integrate ACMG approved genes and ICD codes for translational research and precision medicine.” Frontiers in Genetics, 2022
- Integrated ACMG approved genes and ICD codes for the translational research and precision medicine. Genetics in Medicine Open, Elsevier. 2022/23. [In review]